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On the inference of non-confluent NLC graph grammars

机译:关于非融合NLC图文法的推论

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摘要

Grammar inference deals with determining (preferably simple) models/grammars consistent with a set of observations. There is a large body of research on grammar inference within the theory of formal languages. However, there is surprisingly little known on grammar inference for graph grammars. In this article, we take a further step in this direction and work within the framework of node label controlled (NLC) graph grammars. Specifically, given a graph G and a set S of disjoint and isomorphic subgraphs of G, we characterize whether or not there is a graph grammar consisting of one production such that G may be derived from Go, the graph obtained from G by 'contraction' of each subgraph in 5 to a node labelled by N. This generalizes a previous result that assumes boundary NLC graph grammars, and leads one to consider the more involved 'non-confluent' graph grammar rules.
机译:语法推论处理确定与一组观察结果一致的(最好是简单的)模型/语法。形式语言理论中有大量关于语法推理的研究。但是,令人惊讶的是,对于图文法的文法推理几乎一无所知。在本文中,我们朝着这个方向迈出了进一步的一步,并在节点标签控制(NLC)图语法的框架内开展工作。具体来说,给定一个图G和G的一组不相交和同构子图S,我们表征是否存在由一个生成物组成的图文法,使得G可以从Go导出,该图通过“收缩”从G获得。将5个子图中的每个子图的N标记为N。这概括了先前的结果,该结果假设边界NLC图文法,并导致人们考虑了更多涉及的“非融合”图文法则。

著录项

  • 来源
    《Journal of logic and computation 》 |2013年第4期| 799-814| 共16页
  • 作者单位

    Hasselt University and Transnational University of Limburg, Belgium;

    Leiden Institute of Advanced Computer Science, Universiteit Leiden, The Netherlands and Department of Computer Science, Katholieke Universiteit Leuven, Belgium;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Graph grammars; grammar inference;

    机译:图文法;语法推断;

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